Data Skeptic

Energy Forecasting Pipelines

Jan 24, 2022

43:21

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Highlights

AI Chapters

Episode notes

The Importance of Machine Learning Base Models in the Electric Grid

01:39

Are You Embracing Data Scientists?

03:29

Is Your System Similar to Pie Spark?

03:22

Introduction

3min

The Importance of Forecasting in the Energy Sector

3min

Misst Forecasting Platform - How Do You See It?

3min

Are You an Incremental or a Game Changer?

2min

How to Properly Forecast Electricity Prices

2min

The Miss Forecasting Platform Is a First Class Citizen

3min

Data Science - Layering

4min

Nomad Data - The Data Portal of Doom

5min

The Importance of Machine Learning Base Models in the Electric Grid

2min

10.

Is Platform a No Code Solution?

4min

11.

Mist Ye - What's the Coating Experience Like?

2min

12.

Is Your System Similar to Pie Spark?

3min

13.

Are You Embracing Data Scientists?

3min

14.

What's Next for the Miss Platform?

2min

15.

Is There a Career in Machine Learning?

2min

Erin Boyle, the Head of Data Science at Myst AI, joins us today to talk about her work with Myst AI, a time series forecasting platform and service with the objective for positively impacting sustainability. https://docs.myst.ai/docs Visit Weights and Biases at wandb.me/dataskeptic Find Better Data Faster with Nomad Data. Visit nomad-data.com